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Paper Citation Record · LEDGER

Adaptive Resolution for Finite-Rank Gaussian Processes

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.24066.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.24066 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 1eae81fb-823a-400a-a2fc-14a29b94acb1 · outbound

This paper cites an unresolved cited work.

Adaptive Resolution for Finite-Rank Gaussian Processes Unresolved cited work

Reference 1

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Observation 32f83094-b485-4ab5-ac98-31af6743d1f0 · outbound

This paper cites Block toeplitz matrix inversion.

Adaptive Resolution for Finite-Rank Gaussian Processes Block toeplitz matrix inversion

Reference 2

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Observation 08702b0c-ca56-4c5e-909e-646047ba58ed · outbound

This paper cites Gaussian predictive process models for large spatial data sets.

Adaptive Resolution for Finite-Rank Gaussian Processes Gaussian predictive process models for large spatial data sets

Reference 3

Resolution
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Observation 0fb6e320-4c38-4ef2-b38a-2fcd67e082b0 · outbound

This paper cites Anisotropic function estimation using multi-bandwidth gaussian processes.

Adaptive Resolution for Finite-Rank Gaussian Processes Anisotropic function estimation using multi-bandwidth gaussian processes

Reference 4

Resolution
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Observation 34a42c89-fa31-4bd8-8d9c-a7519fe63d1c · outbound

This paper cites Spatial models generated by nested stochastic partial differen- tial equations, with an application to global ozone mapping.

Adaptive Resolution for Finite-Rank Gaussian Processes Spatial models generated by nested stochastic partial differen- tial equations, with an application to global ozone mapping

Reference 5

Resolution
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Observation 6f0edffd-518a-44f6-9e64-9948f8fa4018 · outbound

This paper cites Lower bounds for posterior rates with gaussian process priors.

Adaptive Resolution for Finite-Rank Gaussian Processes Lower bounds for posterior rates with gaussian process priors

Reference 6

Resolution
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Observation bfaa7325-4e8b-4232-ba92-a24f8893e271 · outbound

This paper cites Fixed rank kriging for very large spatial data sets.

Adaptive Resolution for Finite-Rank Gaussian Processes Fixed rank kriging for very large spatial data sets

Reference 7

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Observation 6c983ac6-50b1-4fac-92b9-b7a7b07b9ab2 · outbound

This paper cites Hierarchical nearest- neighbor gaussian process models for large geostatistical datasets.

Adaptive Resolution for Finite-Rank Gaussian Processes Hierarchical nearest- neighbor gaussian process models for large geostatistical datasets

Reference 8

Resolution
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Observation 13eff0c5-04f7-4919-938d-4f8c601612e7 · outbound

This paper cites de Jonge and J.

Adaptive Resolution for Finite-Rank Gaussian Processes de Jonge and J

Reference 9

Resolution
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This paper cites de Jonge and J.H.

Adaptive Resolution for Finite-Rank Gaussian Processes de Jonge and J.H

Reference 10

Resolution
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Observation f2db0b6d-eeb8-4e75-8b48-0cdce80f15f1 · outbound

This paper cites Adaptive estimation of multivariate functions using condi- tionally gaussian tensor-product spline priors.

Adaptive Resolution for Finite-Rank Gaussian Processes Adaptive estimation of multivariate functions using condi- tionally gaussian tensor-product spline priors

Reference 11

Resolution
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Observation c9f59800-7106-4f8e-afc1-69e72bf4bf35 · outbound

This paper cites Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Mat\'ern and Confluent Hypergeometric Covariance Functions.

Adaptive Resolution for Finite-Rank Gaussian Processes Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Mat\'ern and Confluent Hypergeometric Covariance Functions

Reference 12

Resolution
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Observation 73acdee4-909a-4093-9c73-49aa79e33715 · outbound

This paper cites Approximate likelihood for large irregularly spaced spatial data.

Adaptive Resolution for Finite-Rank Gaussian Processes Approximate likelihood for large irregularly spaced spatial data

Reference 13

Resolution
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Observation 86740ad7-ee4a-473f-b2c8-ed0bfc8c4405 · outbound

This paper cites Covariance tapering for interpolation of large spatial datasets.

Adaptive Resolution for Finite-Rank Gaussian Processes Covariance tapering for interpolation of large spatial datasets

Reference 14

Resolution
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Observation b14e9162-8250-4aab-9889-01dd263102df · outbound

This paper cites Distributed bayesian inference in massive spatial data.

Adaptive Resolution for Finite-Rank Gaussian Processes Distributed bayesian inference in massive spatial data

Reference 15

Resolution
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Observation 52bfb481-bddc-4ab5-b764-c39227c28bf3 · outbound

This paper cites A case study competition among methods for analyzing large spatial data.

Adaptive Resolution for Finite-Rank Gaussian Processes A case study competition among methods for analyzing large spatial data

Reference 16

Resolution
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This paper cites Space and space-time modeling using process convolutions.

Adaptive Resolution for Finite-Rank Gaussian Processes Space and space-time modeling using process convolutions

Reference 17

Resolution
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Observation a5d2945c-f97d-439a-b702-240811c12683 · outbound

This paper cites Asymptotic properties of Vecchia approximation for Gaussian processes.

Adaptive Resolution for Finite-Rank Gaussian Processes Asymptotic properties of Vecchia approximation for Gaussian processes

Reference 18

Resolution
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Observation fadc5e91-5ffb-48a6-baa7-aa49c4b44e66 · outbound

This paper cites On the asymptotic representation of the euler gamma function by ramanujan.

Adaptive Resolution for Finite-Rank Gaussian Processes On the asymptotic representation of the euler gamma function by ramanujan

Reference 19

Resolution
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Observation d8b3ed18-fe40-4863-b410-a0d6d472d64a · outbound

This paper cites Eigenvalues of tridiagonal pseudo- toeplitz matrices.

Adaptive Resolution for Finite-Rank Gaussian Processes Eigenvalues of tridiagonal pseudo- toeplitz matrices

Reference 20

Resolution
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Observation af9bccf8-76b2-442b-adbd-8951383e1411 · outbound

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Adaptive Resolution for Finite-Rank Gaussian Processes Lectures on Gaussian processes

Reference 21

Resolution
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This paper cites An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach.

Adaptive Resolution for Finite-Rank Gaussian Processes An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach

Reference 22

Resolution
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Observation 4d937641-59e1-4c90-ad93-74897febadb1 · outbound

This paper cites Gaussian process emulators for computer experiments with inequality constraints.

Adaptive Resolution for Finite-Rank Gaussian Processes Gaussian process emulators for computer experiments with inequality constraints

Reference 23

Resolution
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Adaptive Resolution for Finite-Rank Gaussian Processes Inequalities for the incomplete gamma function

Reference 24

Resolution
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This paper cites A multiresolution gaussian process model for the analysis of large spatial datasets.

Adaptive Resolution for Finite-Rank Gaussian Processes A multiresolution gaussian process model for the analysis of large spatial datasets

Reference 25

Resolution
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Observation d4dc7fb3-062e-4d0b-9e7b-ca13fd0eaa5e · outbound

This paper cites Gaussian processes for machine learning, volume 1.

Adaptive Resolution for Finite-Rank Gaussian Processes Gaussian processes for machine learning, volume 1

Reference 26

Resolution
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Source-reported events for the cited work

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Observation f7c85eb7-518c-4c9c-8f85-90ed8bdcda76 · outbound

This paper cites Efficient bayesian shape-restricted function estimation with constrained gaussian process priors.

Adaptive Resolution for Finite-Rank Gaussian Processes Efficient bayesian shape-restricted function estimation with constrained gaussian process priors

Reference 27

Resolution
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Observation d9e0e389-903a-4920-ac6e-4618e9a049e3 · outbound

This paper cites Rectangular confidence regions for the means of multivariate normal distribu- tions.

Adaptive Resolution for Finite-Rank Gaussian Processes Rectangular confidence regions for the means of multivariate normal distribu- tions

Reference 28

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8dfe3a7e-6d2d-4314-a7fc-eaaae7f91817 · outbound

This paper cites Packing hyper- spheres in high-dimensional euclidean spaces.

Adaptive Resolution for Finite-Rank Gaussian Processes Packing hyper- spheres in high-dimensional euclidean spaces

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 007a0993-f42b-4859-b5fb-a7ca75faf41c · outbound

This paper cites Approximating likelihoods for large spatial data sets.

Adaptive Resolution for Finite-Rank Gaussian Processes Approximating likelihoods for large spatial data sets

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b82bb7eb-f686-4bf1-836a-7da4f529ded1 · outbound

This paper cites Geostatistics for large datasets.

Adaptive Resolution for Finite-Rank Gaussian Processes Geostatistics for large datasets

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 097450d8-8bb0-43fc-aa74-1b1b32e87f68 · outbound

This paper cites An asymptotic analysis of distributed nonparametric methods.

Adaptive Resolution for Finite-Rank Gaussian Processes An asymptotic analysis of distributed nonparametric methods

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1fea46dd-9135-4a4f-b103-d388f6480286 · outbound

This paper cites Adaptive distributed methods under communication constraints.

Adaptive Resolution for Finite-Rank Gaussian Processes Adaptive distributed methods under communication constraints

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9c93d97e-3bfc-45f4-88de-a808ed3210f4 · outbound

This paper cites Vecchia gaussian processes: Probabilistic properties, minimax rates and methodological developments.

Adaptive Resolution for Finite-Rank Gaussian Processes Vecchia gaussian processes: Probabilistic properties, minimax rates and methodological developments

Reference 34

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0225df9d-d580-44b5-a55d-ebd69a08a8dd · outbound

This paper cites Tsybakov.

Adaptive Resolution for Finite-Rank Gaussian Processes Tsybakov

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 07cfb6d9-e441-422f-afe2-fea863f159f4 · outbound

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Adaptive Resolution for Finite-Rank Gaussian Processes Unresolved cited work

Reference 36

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 480d8f40-ceb1-4a6e-ae05-d205083e9601 · outbound

This paper cites Information rates of nonparametric gaussian process methods.

Adaptive Resolution for Finite-Rank Gaussian Processes Information rates of nonparametric gaussian process methods

Reference 37

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 36568a30-0eba-4297-ad8f-982336fa9628 · outbound

This paper cites Reproducing kernel hilbert spaces of gaussian priors.

Adaptive Resolution for Finite-Rank Gaussian Processes Reproducing kernel hilbert spaces of gaussian priors

Reference 38

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 98f9a5e3-ecbe-492c-b906-9380b1174884 · outbound

This paper cites Adaptive bayesian estimation using a gaussian random field with inverse gamma bandwidth.

Adaptive Resolution for Finite-Rank Gaussian Processes Adaptive bayesian estimation using a gaussian random field with inverse gamma bandwidth

Reference 39

Resolution
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Observation 31c6fe22-c72e-47fe-92c0-87bc94ccf024 · outbound

This paper cites An overview of composite likelihood methods.

Adaptive Resolution for Finite-Rank Gaussian Processes An overview of composite likelihood methods

Reference 40

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 139fb01d-8cbc-485b-a4ce-7ce04f1d20cc · outbound

This paper cites Estimation and model identification for continuous spatial processes.

Adaptive Resolution for Finite-Rank Gaussian Processes Estimation and model identification for continuous spatial processes

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 35c1235e-a675-4f9e-9d56-745a7e7fd6ba · outbound

This paper cites On stationary processes in the plane.

Adaptive Resolution for Finite-Rank Gaussian Processes On stationary processes in the plane

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c8ab4e9-1769-4206-a768-fdd22bc10f24 · outbound

This paper cites Reex- amining the proton-radius problem using constrained gaussian processes.

Adaptive Resolution for Finite-Rank Gaussian Processes Reex- amining the proton-radius problem using constrained gaussian processes

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 257171e3-7279-4a2a-bab1-1796bb0ea52a · outbound

This paper cites A mass-shifting phe- nomenon of truncated multivariate normal priors.

Adaptive Resolution for Finite-Rank Gaussian Processes A mass-shifting phe- nomenon of truncated multivariate normal priors

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 43c358f6-26d0-4783-8d55-1f17bcbb7a23 · outbound

This paper cites Radial neighbours for provably accurate scalable approximations of gaussian processes.

Adaptive Resolution for Finite-Rank Gaussian Processes Radial neighbours for provably accurate scalable approximations of gaussian processes

Reference 45

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d8d7096a-a0c3-4cd4-a6d7-553001e68d69 · outbound

This paper cites Trigonometric series, volume 1.

Adaptive Resolution for Finite-Rank Gaussian Processes Trigonometric series, volume 1

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.